data center engineering operations engineer

Amazon Web Services (AWS)

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 <br/>
 <br/>
 You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
 <br/>
 <br/>
 Amazon Web Services (AWS) is looking for a Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder.
 <br/>
 <br/>
 As an Engineering Operations Engineer, you will operate and maintain AWS DCs&rsquo; world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures.
 <br/>
 <br/>
 If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 SAFETY
 <br/>
 <br/>
 <ul>
  <li>
   Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.
   <br/>
   <br/>
  </li>
 </ul>
 ENGINEERING &amp; FACILITY OPERATIONS AND MAINTENANCE
 <br/>
 <br/>
 <ul>
  <li>
   You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS&rsquo;s), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
  </li>
  <li>
   Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center
  </li>
  <li>
   Troubleshoot facility and rack-level events within internal SLAs
  </li>
  <li>
   Perform root cause analysis of equipment failures
  </li>
  <li>
   Drive innovation while reducing operational costs in the facilities
   <br/>
   <br/>
  </li>
 </ul>
 DAY IN THE LIFE
 <br/>
 <br/>
 <ul>
  <li>
   Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls
  </li>
  <li>
   Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.)
  </li>
  <li>
   Supervise contractors who perform servicing or preventive maintenance
  </li>
  <li>
   Perform the following tasks, with or without reasonable accommodation:
  </li>
  <li>
   Occasionally Move objects/material (weight limits in accordance with regulations)
  </li>
  <li>
   Work in outdoor weather conditions.
  </li>
  <li>
   Work in noisy environments
  </li>
  <li>
   Work at heights and from ladders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Diverse Experiences
 <br/>
 <br/>
 AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 <br/>
 <br/>
 Why AWS?
 <br/>
 <br/>
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 <br/>
 <br/>
 Inclusive Team Culture
 <br/>
 <br/>
 Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
 <br/>
 <br/>
 Mentorship &amp; Career Growth
 <br/>
 <br/>
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 <br/>
 <br/>
 Work/Life Balance
 <br/>
 <br/>
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 <br/>
 <br/>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in engineering, project management, construction management or similar technical focus
  </li>
  <li>
   Knowledge of key electrical competencies and theory
  </li>
  <li>
   Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
  </li>
  <li>
   Experience working in operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in data center engineering
  </li>
  <li>
   Knowledge of BMS and EPMS control systems and data collection/trending
   <br/>
   <br/>
  </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Data Services Saudi Arabia Limited One Person Company
 <br/>
 <br/>
 Job ID: A10440216
</div>


Data Center Facility Engineer (Electrical), AWS

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
 <br/>
 <br/>
 You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
 <br/>
 <br/>
 Amazon Web Services (AWS) is looking for a Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder.
 <br/>
 <br/>
 As an Engineering Operations Engineer, you will operate and maintain AWS DCs&rsquo; world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures.
 <br/>
 <br/>
 If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 SAFETY
 <br/>
 <br/>
 <ul>
  <li>
   Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.
   <br/>
   <br/>
  </li>
 </ul>
 ENGINEERING &amp; FACILITY OPERATIONS AND MAINTENANCE
 <br/>
 <br/>
 <ul>
  <li>
   You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS&rsquo;s), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
  </li>
  <li>
   Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center
  </li>
  <li>
   Troubleshoot facility and rack-level events within internal SLAs
  </li>
  <li>
   Perform root cause analysis of equipment failures
  </li>
  <li>
   Drive innovation while reducing operational costs in the facilities
   <br/>
   <br/>
  </li>
 </ul>
 DAY IN THE LIFE
 <br/>
 <br/>
 <ul>
  <li>
   Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls
  </li>
  <li>
   Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.)
  </li>
  <li>
   Supervise contractors who perform servicing or preventive maintenance
  </li>
  <li>
   Perform the following tasks, with or without reasonable accommodation:
  </li>
  <li>
   Occasionally Move objects/material (weight limits in accordance with regulations)
  </li>
  <li>
   Work in outdoor weather conditions.
  </li>
  <li>
   Work in noisy environments
  </li>
  <li>
   Work at heights and from ladders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Diverse Experiences
 <br/>
 <br/>
 AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 <br/>
 <br/>
 Why AWS?
 <br/>
 <br/>
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 <br/>
 <br/>
 Inclusive Team Culture
 <br/>
 <br/>
 Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
 <br/>
 <br/>
 Mentorship &amp; Career Growth
 <br/>
 <br/>
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 <br/>
 <br/>
 Work/Life Balance
 <br/>
 <br/>
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 <br/>
 <br/>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in engineering, project management, construction management or similar technical focus
  </li>
  <li>
   Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
  </li>
  <li>
   Knowledge of key electrical competencies and theory
  </li>
  <li>
   Experience leading and managing operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in data center engineering
  </li>
  <li>
   Knowledge of BMS and EPMS control systems and data collection/trending
   <br/>
   <br/>
  </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Data Services Saudi Arabia Limited One Person Company
 <br/>
 <br/>
 Job ID: A10440218
</div>


Data Center Facility Engineer (Mechanical), AWS

JAWRAA

<div>
 <p>
  Jawraa is a leading digital transformation partner committed to empowering businesses in Saudi Arabia. With over two decades of experience, we've helped organizations navigate the evolving digital landscape and achieve their goals. Our deep industry expertise and strategic partnerships with top-tier technology providers set us apart.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the job :
  </strong>
 </p>
 <p>
  We are looking for a Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable, secure, and highly available cloud infrastructure that powers our core products and services. You will partner with software engineers, data teams, and security to lead cloud-native transformation initiatives and champion best practices across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities :
  </strong>
 </p>
 <p>
  <strong>
   Infrastructure Architecture &amp; Design
  </strong>
 </p>
 <p>
  &bull; Architect and implement highly available, fault-tolerant, and scalable cloud solutions on GCP
 </p>
 <p>
  &bull; Lead the design of GCP-native infrastructure using services such as GKE, Cloud Run, Compute Engine, Cloud SQL, BigQuery, Pub/Sub, and Cloud Storage
 </p>
 <p>
  &bull; Define infrastructure standards, patterns, and reference architectures for engineering teams
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   DevOps &amp; Automation
  </strong>
 </p>
 <p>
  &bull; Build and maintain Infrastructure as Code (IaC) using Terraform and Google Deployment Manager
 </p>
 <p>
  &bull; Design and manage CI/CD pipelines using Cloud Build, GitHub Actions, or similar tooling
 </p>
 <p>
  &bull; Automate cloud operations, monitoring, and remediation using scripting (Python, Bash, Go)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Security &amp; Compliance
  </strong>
 </p>
 <p>
  &bull; Implement and enforce GCP security best practices including IAM, VPC Service Controls, and Cloud Armor
 </p>
 <p>
  &bull; Ensure compliance with regulatory frameworks (SOC 2, ISO 27001, GDPR) within the cloud environment
 </p>
 <p>
  &bull; Conduct regular security assessments and drive vulnerability remediation efforts
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Reliability &amp; Performance
  </strong>
 </p>
 <p>
  &bull; Define and maintain SLIs, SLOs, and error budgets for cloud infrastructure services
 </p>
 <p>
  &bull; Lead incident response, root cause analysis, and blameless post-mortems
 </p>
 <p>
  &bull; Optimize cloud resource utilization and drive cost management through FinOps practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration &amp; Leadership
  </strong>
 </p>
 <p>
  &bull; Mentor junior and mid-level cloud engineers and promote a culture of learning
 </p>
 <p>
  &bull; Collaborate with product, data, and security teams to align cloud strategy with business goals
 </p>
 <p>
  &bull; Document architecture decisions, runbooks, and operational procedures
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Google Cloud Networking
  </strong>
 </p>
 <p>
  &bull; Design and manage Google Cloud VPC networks, subnets, firewall rules, and network policies
 </p>
 <p>
  &bull; Configure and optimize Cloud Load Balancing (HTTP(S), TCP/SSL, Internal) for high-availability workloads
 </p>
 <p>
  &bull; Implement Cloud CDN, Cloud DNS, and Traffic Director for global traffic management
 </p>
 <p>
  &bull; Set up and manage hybrid connectivity using Cloud Interconnect (Dedicated &amp; Partner) and Cloud VPN
 </p>
 <p>
  &bull; Deploy and configure Shared VPC and VPC Network Peering for multi-project architectures
 </p>
 <p>
  &bull; Apply network security controls including Cloud Armor (WAF/DDoS), VPC Service Controls, and Private Google Access
 </p>
 <p>
  &bull; Monitor and troubleshoot network performance using Network Intelligence Center, Connectivity Tests, and VPC Flow Logs
 </p>
 <p>
  &bull; Design private networking for GKE clusters using Alias IP ranges, Cloud NAT, and Private Service Connect
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements :
  </strong>
 </p>
 <p>
  &bull; Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field &mdash; or equivalent practical experience.
 </p>
 <p>
  &bull; 7+ years of experience in cloud engineering, with at least 5 years hands-on with GCP
 </p>
 <p>
  &bull; Deep expertise in GCP services: GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Functions, VPC, IAM
 </p>
 <p>
  &bull; Proficiency in Infrastructure as Code using Terraform
 </p>
 <p>
  &bull; Strong programming/scripting skills in Python, Go, or Bash
 </p>
 <p>
  &bull; Experience with Kubernetes and containerized workloads
 </p>
 <p>
  &bull; Hands-on experience with CI/CD tooling and GitOps workflows
 </p>
 <p>
  &bull; Solid understanding of networking concepts: DNS, VPNs, load balancing, CDN, TCP/IP
 </p>
 <p>
  &bull; Experience implementing security controls and compliance in cloud environments
 </p>
 <p>
  &bull; Google Cloud Professional certifications (Cloud Architect, DevOps Engineer, Security Engineer)
 </p>
 <p>
  &bull; Experience with multi-cloud or hybrid cloud architectures
 </p>
 <p>
  &bull; Familiarity with data engineering tools: Dataflow, Dataproc, BigQuery ML
 </p>
 <p>
  &bull; Experience with service mesh technologies (Istio, Anthos Service Mesh)
 </p>
 <p>
  &bull; Background in SRE principles and practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Specialized Certifications :
  </strong>
 </p>
 <p>
  Google Professional Cloud Architect
 </p>
 <p>
  Google Professional DevOps Engineer
 </p>
 <p>
  Google Professional Cloud Security Engineer
 </p>
 <p>
  Google Associate Cloud Engineer
 </p>
</div>


Senior Cloud Engineer {GCP}

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><p>
Parsons is looking for an amazingly talented BMS / DCIM Engineer to join our team! In this role you will get to support the design, integration, and technical assurance of Building Management Systems (BMS), Data Center Infrastructure Management (DCIM), EPMS, EMS, SCADA, and related control systems for major data center and critical infrastructure projects. Working within an integrated client&ndash;PMC environment, you will ensure seamless system integration, operational resilience, and compliance with project requirements throughout the design and delivery lifecycle.</p><p>
What You'll Be Doing</p><ul><li>
Review and validate BMS/DCIM system designs for data centers, micro data centers, and critical infrastructure facilities.</li><li>
Verify BMS/DCIM requirements for power, cooling, environmental monitoring, white space, plant rooms, UPS, generators, switchgear, PDUs, chillers, CRAH/CRAC units, pumps, and metering systems.</li><li>
Review control philosophies, points lists, control schematics, network architectures, graphics, dashboards, alarm matrices, trend logs, and cause-and-effect logic.</li><li>
Ensure integration between BMS/DCIM and associated systems, including EPMS, EMS, SCADA, fire alarm, security systems, NOC/SOC, CMMS, IFMS, and Digital Twin platforms.</li><li>
Review communication protocols and system interfaces including BACnet, Modbus, SNMP, OPC, MQTT, APIs, gateways, PLCs, controllers, sensors, and smart devices.</li><li>
Review shop drawings, technical specifications, material submittals, RFIs, design changes, method statements, and vendor proposals related to BMS/DCIM systems.</li><li>
Coordinate with MEP, ICT, ELV, cybersecurity, operations, consultants, contractors, and vendors to resolve technical interface and integration issues.</li><li>
Support cybersecurity and operational resilience requirements, including network segmentation, secure access, logging, remote connectivity, and business continuity.</li><li>
Verify alarm strategies, dashboards, reporting tools, monitoring displays, escalation workflows, and operational thresholds.</li><li>
Support testing, commissioning, integrated systems testing, and operational readiness activities.</li><li>
Review as-built drawings, O&amp;M manuals, asset registers, configuration files, testing records, operational runbooks, and training documentation during project handover.</li><li>
Prepare technical comments, issue logs, risk registers, progress reports, and management updates related to BMS/DCIM systems.</li><li>
Ensure solutions support safe, resilient, maintainable, and energy-efficient data center operations.</li><li>
Participate in technical workshops, design reviews, coordination meetings, and multidisciplinary project discussions.</li><li>
Perform other responsibilities associated with this position as appropriate.</li></ul><p>
What Required Skills You'll Bring</p><ul><li>
Bachelor's Degree in Electrical Engineering, Mechanical Engineering, ICT, Controls Engineering, Automation Engineering, Building Services Engineering, or a related discipline.</li><li>
Minimum <b>7&ndash;10+ years of experience</b> in BMS, DCIM, SCADA, Building Automation Systems (BAS), EPMS, EMS, ELV, or critical infrastructure engineering.</li><li>
Strong experience supporting data center, mission-critical, or smart infrastructure projects.</li><li>
Extensive knowledge of DCIM, BMS, EPMS, EMS, SCADA, and integrated monitoring and control systems.</li><li>
Strong understanding of power monitoring, cooling systems, environmental monitoring, alarms, dashboards, reporting, and operational visibility.</li><li>
Experience integrating third-party systems using BACnet, Modbus, SNMP, OPC, MQTT, APIs, gateways, PLCs, sensors, and controllers.</li><li>
Experience reviewing technical documentation including shop drawings, specifications, RFIs, and vendor submittals.</li><li>
Knowledge of integrated systems testing, commissioning, operational readiness, and system handover processes.</li><li>
Understanding of cybersecurity requirements for operational technology (OT) and building management networks.</li><li>
Strong analytical, troubleshooting, and problem-solving skills.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to coordinate effectively with multidisciplinary engineering teams and client stakeholders.</li></ul><p>
What Desired Skills You'll Bring</p><ul><li>
Experience working within integrated client&ndash;PMC environments on major infrastructure or data center programs.</li><li>
Professional certifications related to BMS, DCIM, Building Automation, Controls Engineering, Data Centers, or Cybersecurity.</li><li>
Knowledge of international standards and best practices for data centers and critical infrastructure.</li><li>
Experience with Digital Twin technologies, smart buildings, and intelligent infrastructure platforms.</li><li>
Familiarity with Tier III/Tier IV data center design principles and operational requirements.</li><li>
Experience supporting NOC, SOC, Facilities Management, or Operations &amp; Maintenance teams.</li><li>
Knowledge of ISO standards related to information security, business continuity, and energy management.</li><li>
Experience coordinating multidisciplinary interfaces across ICT, MEP, ELV, cybersecurity, and operational systems.</li><li>
Strong stakeholder management, technical review, and presentation skills.</li><li>
Ability to identify technical risks and recommend practical engineering solutions.</li><li>
Commitment to continuous improvement, innovation, and delivery of resilient, high-performance infrastructure solutions.</li></ul><p></p>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p></p><p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!</p><p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

BMS / DCIM Engineer

Qualcomm

<div>
 <strong>
  Company
  <br/>
  <br/>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  Job Area
  <br/>
  <br/>
 </strong>
 Engineering Group, Engineering Group &gt; Software Engineering
 <br/>
 <br/>
 <strong>
  General Summary
  <br/>
  <br/>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high‑performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power‑efficient platforms that power the next generation of intelligent infrastructure.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Qualcomm is seeking a
 <strong>
  Machine Learning Operations &amp; Customer Support Engineer
 </strong>
 within the Customer Engineering team to support strategic customers deploying AI inference workloads on advanced Qualcomm AI inference accelerators. These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
 <br/>
 <br/>
 This is a
 <strong>
  customer-facing, production-critical role
 </strong>
 focused on ensuring maximum system uptime, reliability, and performance, while resolving customer support cases within defined SLAs/KPIs. The role requires deep expertise across ML inference pipelines, systems troubleshooting, and data center operations, working closely with customers, internal engineering, and product teams.
 <br/>
 <br/>
 The ideal candidate will bring a strong foundation in ML model deployment, systems engineering, rack-scale management software, DevOps/MLOps automation, and cross functional collaboration.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <strong>
  Customer Support &amp; SLA Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Act as the primary technical escalation point for customer issues related to AI inference workloads
  </li>
  <li>
   Own end-to-end case management, ensuring resolution within agreed SLAs and KPIs
  </li>
  <li>
   Drive incident response, triage, and root cause analysis (RCA).
  </li>
  <li>
   Provide timely and transparent communication to customers on issue status and resolution
  </li>
  <li>
   Maintain high levels of customer satisfaction and service reliability
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Uptime, Reliability &amp; Operations
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure high availability and uptime of customer AI deployments (rack-scale systems)
  </li>
  <li>
   Monitor system health, performance metrics, and workload behavior
  </li>
  <li>
   Implement and manage failover, redundancy, and resiliency mechanisms
  </li>
  <li>
   Proactively identify risks and implement preventative actions
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  AI Inference Workload Support
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support deployment, optimization, and troubleshooting of ML inference pipelines
  </li>
  <li>
   Debug issues across model, runtime, system, and hardware layers
  </li>
  <li>
   Analyze model performance (latency, throughput, accuracy tradeoffs) in production
  </li>
  <li>
   Support frameworks such as PyTorch, TensorFlow, ONNX, and model conversion flows
  </li>
  <li>
   Assist in model optimization techniques (quantization, batching, compilation, runtime tuning)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  System &amp; Infrastructure Engineering
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support bare-metal and virtualized environments for AI workloads
  </li>
  <li>
   Troubleshoot issues across Linux OS, drivers, firmware, and networking stack
  </li>
  <li>
   Support deployment and maintenance using Infrastructure as Code (IaC) and automation tools
  </li>
  <li>
   Work with DCIM tools and monitoring systems for infrastructure visibility
  </li>
  <li>
   Coordinate with hardware vendors for accelerator, server, and networking issues
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Monitoring, Observability &amp; Automation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement and manage monitoring systems (logs, metrics, traces)
  </li>
  <li>
   Build dashboards for uptime, SLA adherence, performance, and utilization
  </li>
  <li>
   Automate repetitive operational tasks using scripts and workflows
  </li>
  <li>
   Establish and enforce runbooks and standard operating procedures (SOPs)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Cross-Functional Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Customer Engineering, Product, Engineering, and Support teams
  </li>
  <li>
   Provide structured feedback to engineering for product improvements and defect resolution
  </li>
  <li>
   Support customer onboarding, deployment readiness, and operational handover
  </li>
  <li>
   Participate in customer reviews, escalations, and technical deep dives
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
  </li>
  <li>
   10&ndash;15+ years of experience in ML operations, systems engineering, or customer support engineering
  </li>
  <li>
   Proven experience in customer-facing technical roles with SLA-driven support models
  </li>
  <li>
   Strong experience with AI/ML inference workloads in production environments
  </li>
  <li>
   Deep understanding of end-to-end ML inference pipelines
  </li>
  <li>
   Hands-on experience with Linux systems, system bring-up, drivers, and debugging tools
  </li>
  <li>
   Strong understanding of AI accelerator architecture and system bottlenecks
  </li>
  <li>
   Experience with model deployment, optimization, and performance tuning
  </li>
  <li>
   Experience with data center operations and rack-scale deployments
  </li>
  <li>
   Familiarity with bare-metal, virtualization, and containerization technologies (Docker, Kubernetes)
  </li>
  <li>
   Knowledge of networking concepts (TCP/IP, RDMA, storage systems)
  </li>
  <li>
   Experience with cloud and hybrid environments
  </li>
  <li>
   Experience with monitoring/observability tools (Prometheus, Grafana, ELK, etc.)
  </li>
  <li>
   Strong skills in incident management, RCA, and production operations
  </li>
  <li>
   Experience defining and tracking SLAs, KPIs, and operational metrics
  </li>
  <li>
   Proficiency in Python, Bash, or similar scripting languages
  </li>
  <li>
   Experience in automation, DevOps, and MLOps tooling
  </li>
  <li>
   Strong problem-solving and diagnostic skills
  </li>
  <li>
   Excellent communication and customer engagement skills
  </li>
  <li>
   Ability to operate in high-pressure, mission-critical environments
  </li>
  <li>
   High attention to detail with a focus on quality, reliability, and accountability
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Qualcomm Cloud AI or similar AI accelerator platforms
  </li>
  <li>
   Experience supporting large-scale AI deployments (LLMs, CV pipelines, generative AI)
  </li>
  <li>
   Familiarity with inference runtimes (TensorRT, ONNX Runtime, custom runtimes)
  </li>
  <li>
   Experience with CI/CD pipelines for ML deployment
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Qualcomm
  <br/>
  <br/>
 </strong>
 At Qualcomm, you&rsquo;ll work at the intersection of
 <strong>
  AI silicon, system architecture, and real
 </strong>
 ‑
 <strong>
  world deployment
 </strong>
 . You will engage directly with strategic customers, influence next‑generation AI data center platforms, and help define scalable, power‑efficient infrastructure for the AI era. This role provides a unique opportunity to shape both
 <strong>
  technology direction and customer outcomes
 </strong>
 , while working with world‑class engineering and product teams.
 <br/>
 <br/>
 <strong>
  What's On Offer
  <br/>
  <br/>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <ul>
  <li>
   Salary including housing &amp; transport allowance
  </li>
  <li>
   Stock (RSU's) and performance related bonus
  </li>
  <li>
   16 weeks fully paid Maternity Leave
  </li>
  <li>
   6 weeks fully paid Paternity Leave
  </li>
  <li>
   Employee stock purchase scheme
  </li>
  <li>
   Child Education Allowance
  </li>
  <li>
   Relocation and immigration support (if needed)
  </li>
  <li>
   Life and Medical Insurance
  </li>
  <li>
   Live+ Well Reimbursement for health and recreational membership fees
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
  </li>
  <li>
   References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 <br/>
 <br/>
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


ML Operations & Customer Support Engineer, Staff/Senior Staff level - Riyadh, KSA

Alfaisal University

<div></div><div><div><h5 class="jobSectionHeader"><b>Overview</b></h5>
<div></div><div><div><div>Department<b> College of Engineering</b></div>
</div><div></div><div><div>Division<b>COE&amp;AC</b></div>
</div></div><div></div><div><div><div>Job Family<b>Faculty-Academic</b></div>
</div><div></div><div><div>Reports to<b>Vice Dean for Research and Graduate Studies</b></div>
</div></div><div></div><div><div><div>Location<b>Alfaisal University - Riyadh
</b></div></div></div></div><div><p>The Research Engineer supports research, development, and technical implementation activities in robotics, drones, and autonomous systems. The role involves contributing to system integration, prototype development, testing, and deployment of engineering solutions within research projects and academic programs. The Research Engineer provides technical and operational support for laboratories, research initiatives, and student projects, while collaborating with faculty, researchers, and industry partners to deliver funded projects and departmental objectives. The position also contributes to laboratory operations, student mentoring, and the advancement of applied research and innovation activities in relevant engineering fields.</p>
<h4 class="jobSectionHeader"><b>Primary Duties &amp; Responsibilities</b></h4>
<ul><li>Provides laboratory management and technical support by maintaining engineering laboratories, equipment, software, and technical resources to ensure their effective operation and availability for academic and research activities.</li>
<li>Supports academic programs by assisting faculty members with laboratory-based courses, practical exercises, demonstrations, and curriculum activities in robotics, drones, autonomous systems, and related engineering fields.</li>
<li>Participates in project implementation and system integration by assembling, configuring, testing, validating, and deploying hardware and software solutions in accordance with project requirements and technical specifications.</li>
<li>Conducts research and development activities by contributing to prototype design, experimentation, data collection, performance evaluation, and technical documentation for funded and departmental research projects.</li>
<li>Guides and mentors students in the development of capstone, competition, and research projects by providing technical expertise and supporting project planning, execution, and validation activities.</li>
<li>Maintains laboratory equipment and technical assets by performing routine inspections, troubleshooting issues, coordinating repairs, and ensuring operational readiness of facilities and resources.</li>
<li>Prepares and maintains technical documentation, project records, laboratory inventories, and operational reports to support research activities, project tracking, and compliance requirements.</li>
<li>Ensures compliance with laboratory safety procedures and operational standards by monitoring practices, conducting inspections, and promoting a safe working environment in engineering laboratories and the Automotive Center.</li>
<li>Collaborates with faculty, researchers, and external partners to support the planning, execution, and coordination of funded research projects and engineering initiatives.
</li><li>Supports procurement and resource planning by identifying laboratory and project requirements, preparing technical specifications, and coordinating the acquisition of equipment, materials, and software tools.</li>
<li>Contributes to continuous improvement of laboratory and research activities by evaluating processes, identifying gaps, and recommending improvements to tools and workflows.</li>
<li>Performs all duties in a professional, effective, and confidential manner.</li>
<li>Performs all other related duties as required or assigned by the manager.</li>
</ul><div></div><h4 class="jobSectionHeader"><b>Education &amp; Experience</b></h4>
<ul><li>Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Software Engineering or equivalent from an accredited institute. Master degree is preferable.
</li><li>Certification as Project Management Professional (PMP) by Project Management Institute (Desirable).</li>
<li>Minimum of four (04) years of experience in Electromechanical projects or related fields. For Master degree two years of experience.</li>
</ul><div></div><h4 class="jobSectionHeader"><b>Note</b></h4>
<ul><li>Working hours: Eight hours per day, five days a week</li>
<li>Benefits: MBA as per AU policy &ndash; Family insurance</li></ul></div></div><p></p>

Research Engineer - #160626

AtkinsRéalis

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
The Telecom &amp; IT Inspector is responsible for monitoring telecom and IT infrastructure performance, ensuring reliable communication networks and system availability across transport operations.</p><h2 class="jobSectionHeader"><b>
Your role</b></h2><ul><li>
Inspect telecom infrastructure including fiber networks, switches, routers, servers and communication systems.</li><li>
Monitor contractor performance in maintaining network uptime, connectivity and system reliability.</li><li>
Verify compliance with technical specifications, cybersecurity standards and operational requirements.</li><li>
Identify faults, network degradation and system issues and ensure corrective actions are implemented.</li><li>
Coordinate with NOC, data center and ITS teams to resolve critical communication and system issues.</li></ul><h2 class="jobSectionHeader"><b>
About you</b></h2><ul><li>
Minimum 5+ years' experience in telecom, IT infrastructure or ITS systems within transport or large infrastructure projects.</li><li>
Strong knowledge of network systems, communication protocols and IT infrastructure.</li><li>
Experience in system inspections, troubleshooting and performance monitoring.</li><li>
Familiarity with data centers, cybersecurity practices and enterprise IT systems.</li></ul><h2 class="jobSectionHeader"><b>
Rewards &amp; benefits</b></h2><p>
Explore the rewards and benefits that help you thrive &ndash; at every stage of your life and your career.</p><p>
This includes:</p><ul><li>
Tax-free salary.</li><li>
Life insurance coverage.</li><li>
Medical insurance.</li><li>
Annual leave balance.</li><li>
Company gratuity scheme.</li><li>
Discretionary bonus program.</li><li>
Annual flight contribution.</li><li>
Transportation &amp; housing allowances.</li><li>
Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p>
Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</p><h2 class="jobSectionHeader"><b>
About AtkinsR&eacute;alis</b></h2><p>
We're AtkinsR&eacute;alis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.</p></div><p></p>

Inspector - Telecom & IT

Explore 459+ Data center engineering operations engineer in Riyadh this July. Find roles across top companies and apply now to boost your career.